什么样的设计模式适合异步图像处理？

class ImageProcessor:
    def __init__(self):
        self._observers = []

    def add_observer(self, observer):
        self._observers.append(observer)

    def remove_observer(self, observer):
        self._observers.remove(observer)

    def process_image(self, image):
        # 模拟图像处理
        processed_image = self._process(image)
        self._notify_observers(processed_image)

    def _process(self, image):
        # 实际的图像处理逻辑
        return f"Processed {image}"

    def _notify_observers(self, processed_image):
        for observer in self._观察者:
            observer.update(processed_image)

class UIUpdater:
    def update(self, processed_image):
        print(f"UI updated with: {processed_image}")

# 使用示例
processor = ImageProcessor()
ui_updater = UIUpdater()
processor.add_observer(ui_updater)
processor.process_image("image1.jpg")

class ImageProcessorFactory:
    @staticmethod
    def get_processor(processor_type):
        if processor_type == "grayscale":
            return GrayscaleProcessor()
        elif processor_type == "blur":
            return BlurProcessor()
        else:
            raise ValueError("Unknown processor type")

class GrayscaleProcessor:
    def process(self, image):
        return f"Grayscale {image}"

class BlurProcessor:
    def process(self, image):
        return f"Blur {image}"

# 使用示例
processor = ImageProcessorFactory.get_processor("grayscale")
processed_image = processor.process("image1.jpg")
print(processed_image)

class ImageProcessor:
    def __init__(self, strategy):
        self._strategy = strategy

    def process_image(self, image):
        return self._strategy.process(image)

class GrayscaleStrategy:
    def process(self, image):
        return f"Grayscale {image}"

class BlurStrategy:
    def process(self, image):
        return f"Blur {image}"

# 使用示例
processor = ImageProcessor(GrayscaleStrategy())
processed_image = processor.process_image("image1.jpg")
print(processed_image)

import asyncio

class AsyncImageProcessor:
    async def process_image(self, image):
        # 模拟图像处理
        await asyncio.sleep(1)
        return f"Processed {image}"

async def main():
    processor = AsyncImageProcessor()
    tasks = [processor.process_image(f"image{i}.jpg") for i in range(5)]
    processed_images = await asyncio.gather(*tasks)
    for image in processed_images:
        print(image)

# 运行示例
asyncio.run(main())